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Updated: Mar 12, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
[Knowledge translation: the basics for public health professionals]
Nina Van Der Stuyft1, Alonso Soto2,3, Lely Solari2
1University of Ghent. Bélgica.
Knowledge translation (KT) in Public Health uses scientific evidence for health policies. Effective KT involves creating accessible information products and promoting their use to improve health outcomes.
Area of Science:
- Public Health
- Health Policy
- Evidence-Based Practice
Background:
- Knowledge translation (KT) is crucial for applying research findings to improve public health.
- Decision-makers require scientific evidence to develop effective health policies.
- Bridging the gap between research and practice is essential for health system innovation.
Purpose of the Study:
- To review definitions and conceptual frameworks of knowledge translation (KT) systematization.
- To elucidate the core components of KT processes.
- To emphasize the importance of KT for evidence-informed decision-making.
Main Methods:
- Literature review of definitions and conceptual frameworks related to KT.
- Analysis of common elements across different KT approaches.
- Synthesis of key concepts in KT systematization.
Main Results:
- KT in Public Health facilitates the use of scientific evidence in policy-making.
- KT processes consist of an information product and an action to promote its use.
- Systematized KT approaches aim to accelerate research benefits for population health.
Conclusions:
- Understanding and applying KT is fundamental for effective knowledge utilization in public health.
- Well-defined KT strategies enhance the impact of research on health policies and people's health.
- The systematization of KT processes is key to maximizing the benefits of health innovation.
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